Cong Yin

664 total citations
14 papers, 303 citations indexed

About

Cong Yin is a scholar working on Molecular Biology, Physiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Cong Yin has authored 14 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Physiology and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Cong Yin's work include Adipose Tissue and Metabolism (5 papers), MicroRNA in disease regulation (2 papers) and Cancer-related molecular mechanisms research (2 papers). Cong Yin is often cited by papers focused on Adipose Tissue and Metabolism (5 papers), MicroRNA in disease regulation (2 papers) and Cancer-related molecular mechanisms research (2 papers). Cong Yin collaborates with scholars based in China and United States. Cong Yin's co-authors include Shuhong Zhao, Shenglan Hu, Xiao Li, Hao Wu, Zhen Yan, Junjun Wang, Fengli Wang, Juan Li, Gang Shu and Zihan Li and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, The FASEB Journal and Science Advances.

In The Last Decade

Cong Yin

12 papers receiving 298 citations

Peers

Cong Yin
Alvin D. Pewa United States
Lianggong Ding Switzerland
Ming Han China
Consuelo Sauceda United States
Lalita Oonthonpan United States
Batuhan Yenilmez United States
Cong Yin
Citations per year, relative to Cong Yin Cong Yin (= 1×) peers Zhenyu Yao

Countries citing papers authored by Cong Yin

Since Specialization
Citations

This map shows the geographic impact of Cong Yin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Cong Yin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Yin more than expected).

Fields of papers citing papers by Cong Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cong Yin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Cong Yin. The network helps show where Cong Yin may publish in the future.

Co-authorship network of co-authors of Cong Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Cong Yin. A scholar is included among the top collaborators of Cong Yin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Cong Yin. Cong Yin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
2.
Hui, Xiong, Cong Yin, Ding Tang, et al.. (2025). The telomere-to-telomere genome of Selaginella moellendorffii provides insights into genome evolution and biflavone biosynthesis. Horticultural Plant Journal. 11(6). 2250–2266. 1 indexed citations
3.
Ye, Shuai, Cong Yin, Tao Zhu, et al.. (2025). MiR‐20a‐5p Inhibits Bladder Cancer Proliferation and Migration by Targeting KPNA2. Journal of Cellular and Molecular Medicine. 29(16). e70785–e70785. 1 indexed citations
4.
Yin, Cong, Juan Li, & Lin Yuan. (2023). Comment on: Benefits of tolvaptan on early dyspnea relief in patients with acute heart failure: A meta‐analysis. Clinical Cardiology. 46(5). 584–584.
5.
Yin, Cong, Ding Tang, Xiaoyu Liu, et al.. (2023). Transcriptome analysis reveals important regulatory genes and pathways for tuber color variation in Pinellia ternata (Thunb.) Breit. PROTOPLASMA. 260(5). 1313–1325. 6 indexed citations
6.
Yuan, Yexian, Canjun Zhu, Yongliang Wang, et al.. (2022). α-Ketoglutaric acid ameliorates hyperglycemia in diabetes by inhibiting hepatic gluconeogenesis via serpina1e signaling. Science Advances. 8(18). eabn2879–eabn2879. 45 indexed citations
7.
Yin, Cong, et al.. (2021). Antitumor Effects of Evodiamine in Mice Model Experiments: A Systematic Review and Meta-Analysis. Frontiers in Oncology. 11. 774201–774201. 1 indexed citations
8.
Yin, Cong, Zihan Li, Ping Yang, et al.. (2021). Effect of Intermittent Fasting on Non-Alcoholic Fatty Liver Disease: Systematic Review and Meta-Analysis. Frontiers in Nutrition. 8. 709683–709683. 58 indexed citations
9.
Yin, Cong, Zewei Ma, Fan Li, et al.. (2021). Hypoxanthine Induces Muscular ATP Depletion and Fatigue via UCP2. Frontiers in Physiology. 12. 647743–647743. 21 indexed citations
10.
Li, Fan, Cong Yin, Zewei Ma, et al.. (2021). PHD3 mediates denervation skeletal muscle atrophy through Nf‐κB signal pathway. The FASEB Journal. 35(4). 9 indexed citations
11.
Duan, Chen, Cong Yin, Zewei Ma, et al.. (2021). trans 10, cis 12, but Not cis 9, trans 11 Conjugated Linoleic Acid Isomer Enhances Exercise Endurance by Increasing Oxidative Skeletal Muscle Fiber Type via Toll-like Receptor 4 Signaling in Mice. Journal of Agricultural and Food Chemistry. 69(51). 15636–15648. 10 indexed citations
12.
Zhu, Canjun, Yexian Yuan, Tao Wang, et al.. (2021). Heparin impairs skeletal muscle glucose uptake by inhibiting insulin binding to insulin receptor. Endocrinology Diabetes & Metabolism. 4(3). e00253–e00253. 3 indexed citations
13.
Yin, Cong, Qi-Wen Fan, Zhichang Wang, et al.. (2016). Global Liver Proteome Analysis Using iTRAQ Reveals AMPK–mTOR–Autophagy Signaling Is Altered by Intrauterine Growth Restriction in Newborn Piglets. Journal of Proteome Research. 15(4). 1262–1273. 28 indexed citations
14.
Wu, Hao, Fengli Wang, Shenglan Hu, et al.. (2012). MiR-20a and miR-106b negatively regulate autophagy induced by leucine deprivation via suppression of ULK1 expression in C2C12 myoblasts. Cellular Signalling. 24(11). 2179–2186. 120 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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